1. COURSE SUMMARY:

This course is designed as a one-semester course for the algorithm concepts for undergraduate Computing & Information System students. The course covers the analysis of various algorithms used in AI systems while indicating which algorithm to use in what scenario. Furthermore, the course enables the students to write code in Python to analyze various datasets and come to valid conclusions in prediction. This course has found a profound application in the field of computing since artificial intelligence is the future of computing.

2. COURSE OBJECTIVE:
The course aims to provide the students with fundamental knowledge about agents and environments of artificial intelligence. Students will also learn about analyzing algorithms frequently used to develop intelligent systems and simulate how those algorithms work. Students will also be familiarized with machine learning algorithms and how they are used in systems. 

• Class Lecture-1 (Introduction to AI and Machine Learning)


• Class Lecture-2 (Introduction to Machine Learning)


• Class Lecture-3 (Linear Regression)


• Class Lecture-4 (Bias, Variance & CV)